03140nam a22002417a 4500 20251030150314.0 251030b |||||||| |||| 00| 0 eng d 9780367240233 AL English 005.82 SAVB Onur Savas Ed 243256 Big data analytics in cybersecurity Boca Raton CRC Press 2025 xvi,336p. HB 23.5x16cm. 4224 ₹2796.00 ₹ ₹3495.00 20% 23-10-2025 Big data is presenting challenges to cybersecurity. For an example, the Internet of Things (IoT) will reportedly soon generate a staggering 400 zettabytes (ZB) of data a year. Self-driving cars are predicted to churn out 4000 GB of data per hour of driving. Big data analytics, as an emerging analytical technology, offers the capability to collect, store, process, and visualize these vast amounts of data. Big Data Analytics in Cybersecurity examines security challenges surrounding big data and provides actionable insights that can be used to improve the current practices of network operators and administrators. Applying big data analytics in cybersecurity is critical. By exploiting data from the networks and computers, analysts can discover useful network information from data. Decision makers can make more informative decisions by using this analysis, including what actions need to be performed, and improvement recommendations to policies, guidelines, procedures, tools, and other aspects of the network processes. Applying big data analytics in cybersecurity is critical. By exploiting data from the networks and computers, analysts can discover useful network information from data. Decision makers can make more informative decisions by using this analysis, including what actions need to be performed, and improvement recommendations to policies, guidelines, procedures, tools, and other aspects of the network processes. Bringing together experts from academia, government laboratories, and industry, the book provides insight to both new and more experienced security professionals, as well as data analytics professionals who have varying levels of cybersecurity expertise. It covers a wide range of topics in cybersecurity, which include: Network forensics Threat analysis Vulnerability assessment Visualization Cyber training. In addition, emerging security domains such as the IoT, cloud computing, fog computing, mobile computing, and cyber-social networks are examined. The book first focuses on how big data analytics can be used in different aspects of cybersecurity including network forensics, root-cause analysis, and security training. Next it discusses big data challenges and solutions in such emerging cybersecurity domains as fog computing, IoT, and mobile app security. The book concludes by presenting the tools and datasets for future cybersecurity research. Internet‐security measures 243224 Database security 243225 Computer networks – security measures 243226 Deng,Julia Ed 243237 ddc BK 240614 240614 0 0 ddc 0 0 ISE SE SE 2025-10-27 Biblios Book Point, Surathkal-575014 2796.00 0 005.82 SAVB SE000140 2025-10-30 11:46:26 3495.00 2025-10-23 BK